Discover deep learning and machine learning with Python and TensorFlow
It can be hard to get started with machine learning, particularly as new frameworks like TensorFlow start to gain traction across enterprise companies. TensorFlow is an open source software library for numerical computation using data flow graphs. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
This Learning Path begins by covering everything you need to know about Python. We then move on to understand deep learning as implemented by Python and TensorFlow. Finally, we solve common commercial machine learning problems using TensorFlow.
If you have no prior exposure to one of the most important trends impacting how we do data science in the next few years, this Learning Path will help you get up to speed.
Prerequisites: A firm understanding of Python and the Python ecosystem
Resources: Code downloads and errata:
This path navigates across the following products (in sequential order):
Mastering Python - Second Edition (5h 21m)
Deep Learning with Python (1h 45m)
Machine Learning with TensorFlow (1h 14m)